Staff Research Engineer — AI Discovery & Scalable Systems

Anthropic; San Francisco (CA); Hybrid; USD 350,000 - 850,000; Full time

Job summary

Anthropic is seeking a Research Engineer in San Francisco, CA to identify and resolve key challenges in developing scientific AGI. Ideal candidates will have over 8 years of ML research experience, proficiency in language model training, and a collaborative approach to problem-solving. Responsibilities include creating benchmarks for model capabilities and implementing distributed training systems. The position offers an annual salary ranging from $350,000 to $850,000. The role has a hybrid location-based policy requiring staff presence in the office at least 25% of the time.

Qualifications

• 8+ years of ML research experience.
• Familiarity with large scale language model training, evaluation, and inference.
• Expertise in performance optimization and distributed computing systems.

Responsibilities

• Identify and remove bottlenecks towards scientific AGI.
• Develop approaches for long-horizon task completion and reasoning challenges.
• Create benchmarks for evaluating model capabilities.

Skills

ML research

Language model training

Performance optimization

Distributed computing systems

Problem-solving

Education

Bachelor’s degree or equivalent

Tools

Docker

Kubernetes

Job description

Anthropic is seeking a Research Engineer in San Francisco, CA to identify and resolve key challenges in developing scientific AGI. Ideal candidates will have over 8 years of ML research experience, proficiency in language model training, and a collaborative approach to problem-solving. Responsibilities include creating benchmarks for model capabilities and implementing distributed training systems. The position offers an annual salary ranging from $350,000 to $850,000. The role has a hybrid location-based policy requiring staff presence in the office at least 25% of the time.